1993
DOI: 10.1002/sim.4780122405
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A bivariate approach to meta‐analysis

Abstract: The usual meta-analysis of a sequence of randomized clinical trials only considers the difference between two treatments and produces a point estimate and a confidence interval for a parameter that measures this difference. The usual parameter is the log(odds ratio) linked to Mantel-Haenszel methodology. Inference is made either under the assumption of homogeneity or in a random effects model that takes account of heterogeneity between trials. This paper has two goals. The first is to present a likelihood base… Show more

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Cited by 289 publications
(255 citation statements)
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“…[16][17][18] Covariates indicating design features were used to examine whether, on average, studies that failed to meet certain methodologic criteria yielded different estimates of accuracy. The diagnostic odds ratio (DOR) was used as the summary measure of diagnostic accuracy.…”
Section: Resultsmentioning
confidence: 99%
“…[16][17][18] Covariates indicating design features were used to examine whether, on average, studies that failed to meet certain methodologic criteria yielded different estimates of accuracy. The diagnostic odds ratio (DOR) was used as the summary measure of diagnostic accuracy.…”
Section: Resultsmentioning
confidence: 99%
“…These factors make it difficult for workers in this field to know the exact value of the two approaches. Meta-analysis represents a powerful tool to summarize findings in the literature by taking into consideration and enabling analysis of differences between studies [19,20]. Thus, the purpose of our study is to perform a systematic review to compare the anterior surgery with the posterior surgery for MCM by comparing the surgical outcomes, radiographic changes and complications of these two approaches.…”
Section: Introductionmentioning
confidence: 99%
“…In our meta-analysis, the pooled sensitivity, specificity, PLR, NLR, and DOR were calculated using the bivariate mixed-effects regression model developed by van Houwelingen and modified for evaluating diagnostic test data [32,33]. The area under the ROC curve (AUROC) was between 0.5 and 1.0.…”
Section: Discussionmentioning
confidence: 99%